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共 1508 条记录，以下是141-150 订阅

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Cheap latex, high-end thrills: A fantasy exercise in search and seizure 46th

Cheap latex, high-end thrills: A fantasy exercise in search ...

引用

46th Annual Conference of the Southern African computer Lecturers’ Association, SACLA 2017

作者： Leung, Wai Sze Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9783319696690

Quite often computer Forensics students are afforded little or no opportunity to gain experience when it comes to retrieving digital evidence from a crime scene. For our offering, the exclusion was attributed to a lack of resources in terms of time, physical space, and equipment. To circumvent the aforementioned short-comings, we tapped into the imaginations of our students to introduce a search and seizure exercise by means of role-play simulation, which is seen to be a form of active learning. This paper describes how we adapted the problem-based learning activities approach employed by the Universities of Sunderland and Glamorgan, to offer our students a similar student-centered learning opportunity, supplementing the lack of a professional crime scene environment with a storyteller to fill in the details of what the students experience during their role-play simulation. We review our version of the search and seizure role-play simulation against the lessons learnt at Sunderland and Glamorgan, examining how future implementations can be revised to reflect best practices in offering our students improved learning opportunities. © Springer International Publishing AG 2017.

关键词： Students

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Face Anti-spoofing based on Convolutional Neural Networks 3

Face Anti-spoofing based on Convolutional Neural Networks

引用

3rd International Conference on Intelligent Data science Technologies and Applications, IDSTA 2022

作者： Maphisa, Siyamdumisa Coulter, Duncan University of Johannesburg Academy of Computer Science and Software Engineering Johannesburg South Africa

ISBN: (数字)9781665499606

ISBN: (纸本)9781665499606

Biometrics technologies have gained increasing attention across different sectors in the past decade. Face recognition has proven to be one of these successful biometric technologies. For example, law enforcement uses face recognition for faster investigations, banks for identity confirmation, and different organisations for access control. However, face recognition has shortcomings regardless of its high successes, just like any biometrics technology. Face recognition technology is still susceptible to face spoofing attacks despite great efforts made by different researchers to combat such attacks. The study proposes an anti-spoofing model based on deep learning methods. Three different pipelines are implemented based on convolutional neural network (CNN) architecture. A hyper tuned baseline CNN, a convolutional neural network based on AlexNet architecture, and a neural network based on VGG16 architecture. The study benchmarked pipelines using the available face anti-spoofing detection datasets - the NUAA and CelebA datasets. The study measures these performance metrics for all the pipelines: accuracy, precision, recall, F1 score, AUC, and Roc curve. All three pipelines provided good results when tested against the selected datasets. © 2022 IEEE.

关键词： Face recognition

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Adaptive Game AI-Based Dynamic Difficulty Scaling via the Symbiotic Game Agent 11th

Adaptive Game AI-Based Dynamic Difficulty Scaling via the Sy...

引用

11th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2020

作者： Sithungu, Siphesihle Philezwini Ehlers, Elizabeth Marie Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9783030469306

This work presents AdaptiveSGA, a model for implementing Dynamic Difficulty Scaling through Adaptive Game AI via the Symbiotic Game Agent framework. The use of Dynamic Difficulty Balancing in modern computer games is useful when looking to improve the entertainment value of a game. Moreover, the Symbiotic Game Agent, as a framework, provides flexibility and robustness as a design principle for game agents. The work presented here leverages both the advantages of Adaptive Game AI and Symbiotic Game Agents to implement a robust, efficient and testable model for game difficulty scaling. The model is discussed in detail and is compared to the original Symbiotic Game Agent architecture. Finally, the paper describes how it was applied in simulated soccer. Finally, experimental results, which show that Dynamic Difficulty Balancing was achieved, are briefly analyzed. © 2020, IFIP International Federation for Information Processing.

关键词： computer games

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Real-Time Face Antispoofing Using Shearlets 1

引用

17th International Conference on Information Security, ISSA 2018

作者： van der Haar, Dustin Terence Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (数字)9783030114077

ISBN: (纸本)9783030114060

Face recognition. A promise made to the modern technologists as the ultimate access control or surveillance technology. However, it is still vulnerable to inexpensive spoofing attacks, which pose a threat to security. Basic face spoofing attacks that use photographs and video are still not addressed appropriately, especially in real-time applications, thereby making security in these environments a difficult task to achieve. Although methods have improved over the last decade, a robust solution that can accommodate changing environments is still out of reach. Face spoofing attacks introduce an object into the scene, which presents curvilinear singularities that are not necessarily portrayed in the same way in different lighting conditions. We present a solution that addresses this problem by using a discrete shearlet transform as an alternative descriptor that can differentiate between a real and a fake face without user-cooperation. We have found the approach can successfully detect blurred edges, texture changes and other noise found in various face spoof attacks. Our benchmarks on the publicly available CASIA-FASD, MSU-MFSD, and OULU-NPU data sets, show that our approach portrays good results and improves on the most popular methods found in the field on modest computer hardware, but requires further improvement to beat the current state of the art. The approach also achieves real-time face spoof discrimination, which makes it a practical solution in real-time applications and a viable augmentation to current face recognition methods. © 2019, Springer Nature Switzerland AG.

关键词： Face recognition

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SA-EF Cube: An Evaluation Framework for Assessing Intelligent Context-Aware Critical Information Infrastructure Protection Solutions 1

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17th International Conference on Information Security, ISSA 2018

作者： van Niekerk, Jan Hendrik Ehlers, Elizabeth Marie Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (数字)9783030114077

ISBN: (纸本)9783030114060

Advances in technologies such as cloud computing and Bring Your Own Technology (BYOT) environments have dramatically changed the way in which organisations do business. Critical Information Infrastructure (CII) is at the core of this revolution, yet it has become an almost impossible task to protect CII against all possible threats effectively. Multi Agent Systems (MASs) and have addressed Critical Information Infrastructure Protection (CIIP) from unique ways, yet these approaches often lack a sufficient contextualisation of the environment and its dynamism. Without a sufficient contextualisation of an environment and the dynamism that is associated with it, an automated CIIP mechanism will never be truly effective. To address this contextualisation problem that autonomous CIIP-mechanism face, the SA-EF Cube model is proposed. The model can be used as a "checklist" to assess if an autonomous CIIP solution covers the fundamental requirements to contextualise the problem domain of CIIP. The SA-EF Cube model is by no means exhaustive in nature, serves as solid foundation for an implementation checklist before any CIIP mechanism is contextualised and developed. © 2019, Springer Nature Switzerland AG.

关键词： Multi agent systems

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Web services security policy assertion trade-offs

Web services security policy assertion trade-offs

引用

2011 6th International Conference on Availability, Reliability and Security, ARES 2011

作者： Lavarack, Tristan Coetzee, Marijke Academy of Computer Science and Software Engineering University of Johannesburg Gauteng South Africa

ISBN: (纸本)9780769544854

Web services security requirements and capabilities are described in security policies. To enable the seamless interoperation between services, security policy intersection aims to provide a security policy that will satisfy both the service provider and consumer. Not only are there numerous problems with this approach, but is it also difficult for administrators to evaluate the resultant security level supported by such a policy. In contrast to this approach, security policy trade-off analysis can allow parties to make compromises to accommodate each other, while still achieving a satisfactory security level. This paper focuses on modeling the decisions and compromises to be made by web services providers or consumers to be able to interact with each other securely. The security policy support system built to model this problem employs domain vocabularies, fuzzy techniques and domain-specific preferences. © 2011 IEEE.

关键词： Economic and social effects

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CESIMAS: A Self-adaptive MAS toward improved Critical Infrastructure protection

CESIMAS: A Self-adaptive MAS toward improved Critical Infras...

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作者： Van Niekerk, Jan Hendrik Ehlers, Elizabeth Marie Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

At the core of every organisation is a set of electronic assets that enables an organisation to perform its daily operations. This Critical Infrastructure (CI) forms the fundamental core of the organisation. CI is dynamic in nature, with electronic and information assets consistently changing states, and creating new information. Conventional protection mechanisms have failed to ensure effective protection, and the critical environments have dynamic states which change consistently. Organisations heavily rely on CI to support daily operations. The hinderance of such CI can have several negative impacts. To mitigate risks, organisations should look elsewhere for more adaptive solutions which are geared towards the protection of CI. This paper proposes a Continual Evaluative Self-aware Immune-inspired Multi Agent Critical Information Infrastructure Protection System (CESIMAS). The purpose of the CESIMAS model is to establish a self-aware, and self-adaptive MAS in which agents can adapt their behaviour given internal and external stimuli, enabling more effective responses and an improved level of CI protection. © 2019 - IOS Press and the authors. All rights reserved.

关键词： Multi agent systems

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Inflammation security: A decentralised immune model for resource distribution in networks

Inflammation security: A decentralised immune model for reso...

引用

11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012

作者： Heydenrych, Mark Ehlers, Elizabeth Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9780769547459

This paper will present a method for disseminating mobile agents throughout a network in order to protect that network. This method is based on the immune concept of inflammation, which provides greater blood flow to areas of the body in danger. It also presents a prototype implementation of the model, and analyses that prototype. © 2012 IEEE.

关键词： Network security

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An aviation sector CSIRT for Sub-Saharan Africa 1

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18th International Conference on Information Security, ISSA 2019

作者： Lekota, Faith Coetzee, Marijke Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (数字)9783030432768

ISBN: (纸本)9783030432751

computer Security Incident Response Teams (CSIRTs) provide information security incident response services to communities. The South African Cybersecurity Hub (SACH) acts as a national point of contact for the coordination of cybersecurity incidents in South Africa, but to date has only been successful in assisting with the establishment of a finance sector CSIRT. No mention of a transport or critical infrastructure sector CSIRT, under which an aviation CSIRT can report aviation sector cyber-attacks is made. The aviation community is mandated to sustain safety and security of operations and passengers in Southern Africa. Acknowledging the urgency and importance of protecting civil aviation’s critical infrastructure, information and communication technology systems and data against cyber threats this research identifies that there is a need for a CSIRT framework for the Sub-Saharan aviation community. An aviation CSIRT should implement frameworks, programs and international information security standards, and aviation communities need to share cyber information with the CSIRT. To achieve such a framework, globally established CSIRTs are reviewed. Since the aviation sector is complex to manage, there is a need to establish an integrated CSIRT approach that include stakeholders within the ecosystem. A proposed aviation CSIRT requires the adoption of best practice cyber security incident response standards as a practical solution to manage aviation cyberattacks. © Springer Nature Switzerland AG 2020.

关键词： Cybersecurity

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A Reinforcement Learning-Based Classification Symbiont Agent for Dynamic Difficulty Balancing 3

A Reinforcement Learning-Based Classification Symbiont Agent...

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3rd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2020

作者： Philezwini Sithungu, Siphesihle Marie Ehlers, Elizabeth Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9781450388085

AdaptiveSGA is a mechanism for achieving Adaptive Game AI-based Dynamic Difficulty Balancing in games. AdaptiveSGA is based on the Symbiotic Game Agent model and, therefore, leverages the advantages of biological symbiosis. Within the AdaptiveSGA architecture, the classification symbiont agent is responsible for the dynamic difficulty balancing component. Current work proposes the use of a classification symbiont agent that makes use of reinforcement learning to optimise dynamic difficulty balancing in order to match the opponent's skill. Current work also introduces three different types of decision-making algorithms that can be used by decision-making symbiont agents to display different kinds of behaviour. The ability to reproduce different kinds of NPC behaviour forms the adaptive game AI component of AdaptiveSGA. Experimental results showed that the reinforcement learning-based classification symbiont agent can achieve an even game with opponents and can further help minimise the number of draws. © 2020 ACM.

关键词： Reinforcement learning

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